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Big thanks to Binance for the surprise swag gift. Small gestures like this go a long way. It’s not just about the merch, but about recognizing creators and community members who spend time learning, building, and sharing knowledge around this space. Binance has played a major role in making crypto more accessible across regions, and it’s great to see that same attention extended to the people who support the ecosystem every day. Grateful for the appreciation and motivated to keep contributing thoughtfully to the community. Thank you, Binance. @blueshirt666 @CZ #Binance #thankyoubinance #FlowWithTapu
Big thanks to Binance for the surprise swag gift.

Small gestures like this go a long way. It’s not just about the merch, but about recognizing creators and community members who spend time learning, building, and sharing knowledge around this space.

Binance has played a major role in making crypto more accessible across regions, and it’s great to see that same attention extended to the people who support the ecosystem every day.

Grateful for the appreciation and motivated to keep contributing thoughtfully to the community.

Thank you, Binance.

@Daniel Zou (DZ) 🔶 @CZ

#Binance #thankyoubinance #FlowWithTapu
@WalrusProtocol Another way to understand Walrus is to see it as a hedge against invisible risk. Most applications today rely on storage providers they do not control and cannot meaningfully influence. Everything feels stable until it isn’t. A pricing change, a policy update, a regional restriction can instantly reshape what is possible. Walrus exists to reduce that dependency by making storage verifiable, distributed, and collectively maintained. WAL plays a central role in aligning incentives around this idea. Instead of rewarding scale for its own sake, the protocol rewards behavior that supports long term network health. Availability, consistency, and participation matter more than volume. Governance is not performative. It is a tool to manage tradeoffs as real usage introduces new constraints. Storage is living infrastructure, not a fixed service, and Walrus treats it accordingly. Privacy within Walrus is not framed as secrecy but as structure. Data fragmentation and distribution remove obvious points of control. No single operator can decide outcomes, restrict access, or quietly rewrite rules. For builders operating across jurisdictions, this neutrality reduces exposure. For users, it restores a sense of ownership that has slowly eroded in platform dominated systems. What stands out most is restraint. Walrus does not promise instant adoption or universal replacement. It positions itself for cases where persistence matters more than convenience. Over time, those cases tend to grow, not shrink. Once data proves reliable in a decentralized environment, moving it back to centralized systems feels less like optimization and more like compromise. The relevance of WAL may surface quietly. In applications that keep running when conditions change. In data that remains accessible without fanfare. In systems people rely on without thinking about why they work. Infrastructure earns trust through consistency, and Walrus appears designed with that long view at its core. #Walrus $WAL
@Walrus 🦭/acc Another way to understand Walrus is to see it as a hedge against invisible risk. Most applications today rely on storage providers they do not control and cannot meaningfully influence. Everything feels stable until it isn’t. A pricing change, a policy update, a regional restriction can instantly reshape what is possible. Walrus exists to reduce that dependency by making storage verifiable, distributed, and collectively maintained.

WAL plays a central role in aligning incentives around this idea. Instead of rewarding scale for its own sake, the protocol rewards behavior that supports long term network health. Availability, consistency, and participation matter more than volume. Governance is not performative. It is a tool to manage tradeoffs as real usage introduces new constraints. Storage is living infrastructure, not a fixed service, and Walrus treats it accordingly.

Privacy within Walrus is not framed as secrecy but as structure. Data fragmentation and distribution remove obvious points of control. No single operator can decide outcomes, restrict access, or quietly rewrite rules. For builders operating across jurisdictions, this neutrality reduces exposure. For users, it restores a sense of ownership that has slowly eroded in platform dominated systems.

What stands out most is restraint. Walrus does not promise instant adoption or universal replacement. It positions itself for cases where persistence matters more than convenience. Over time, those cases tend to grow, not shrink. Once data proves reliable in a decentralized environment, moving it back to centralized systems feels less like optimization and more like compromise.

The relevance of WAL may surface quietly. In applications that keep running when conditions change. In data that remains accessible without fanfare. In systems people rely on without thinking about why they work. Infrastructure earns trust through consistency, and Walrus appears designed with that long view at its core.

#Walrus $WAL
@WalrusProtocol Another way to look at Walrus is to see it as an answer to silent risk. Most applications today are built on storage layers that work perfectly until they do not. Pricing models shift. Access rules change. Entire regions can suddenly fall under new constraints. These risks are rarely visible during development, yet they shape outcomes long after launch. Walrus addresses this by making storage verifiable, distributed, and resistant to unilateral control. WAL supports this design by tying economic incentives to real behavior rather than promises. Availability, durability, and participation are rewarded directly. Governance is not a checkbox feature but a living process that allows the network to adjust as demand grows and usage patterns change. Storage is not static, and systems that pretend it is eventually fail under pressure. Walrus is built to evolve without undermining trust. Privacy in this context feels structural rather than performative. When data is fragmented and spread across a decentralized network, control naturally dissolves. There is no single operator to pressure and no centralized switch to turn off access. For builders operating across jurisdictions, this neutrality reduces dependency risk. For users, it restores a sense of ownership that has slowly faded in platform driven models. What stands out is the absence of urgency. Walrus does not frame itself as a race or a replacement. It positions itself as infrastructure for applications that plan to exist for years, not cycles. Once data proves reliable in a decentralized environment, it tends to stay there because moving back feels like accepting unnecessary compromise. The relevance of WAL may never be loud. It may show up quietly in systems that keep functioning when conditions change. In applications that rely on it without drawing attention to it. In data that remains accessible when convenience driven solutions fall short. Infrastructure earns its value through consistency, and Walrus appears built with that long view firmly in mind. #Walrus $WAL
@Walrus 🦭/acc Another way to look at Walrus is to see it as an answer to silent risk. Most applications today are built on storage layers that work perfectly until they do not. Pricing models shift. Access rules change. Entire regions can suddenly fall under new constraints. These risks are rarely visible during development, yet they shape outcomes long after launch. Walrus addresses this by making storage verifiable, distributed, and resistant to unilateral control.

WAL supports this design by tying economic incentives to real behavior rather than promises. Availability, durability, and participation are rewarded directly. Governance is not a checkbox feature but a living process that allows the network to adjust as demand grows and usage patterns change. Storage is not static, and systems that pretend it is eventually fail under pressure. Walrus is built to evolve without undermining trust.

Privacy in this context feels structural rather than performative. When data is fragmented and spread across a decentralized network, control naturally dissolves. There is no single operator to pressure and no centralized switch to turn off access. For builders operating across jurisdictions, this neutrality reduces dependency risk. For users, it restores a sense of ownership that has slowly faded in platform driven models.

What stands out is the absence of urgency. Walrus does not frame itself as a race or a replacement. It positions itself as infrastructure for applications that plan to exist for years, not cycles. Once data proves reliable in a decentralized environment, it tends to stay there because moving back feels like accepting unnecessary compromise.

The relevance of WAL may never be loud. It may show up quietly in systems that keep functioning when conditions change. In applications that rely on it without drawing attention to it. In data that remains accessible when convenience driven solutions fall short. Infrastructure earns its value through consistency, and Walrus appears built with that long view firmly in mind.

#Walrus $WAL
Suggests DeFi’s Next Breakthrough Might Be Boring and That’s the Point@WalrusProtocol When I first read about Walrus, my reaction was muted curiosity rather than excitement. WAL did not arrive wrapped in bold claims or revolutionary slogans. It did not announce the end of existing systems or promise to fix every problem in DeFi. If anything, it felt restrained, almost cautious. That made me suspicious at first. In this industry, modesty can sometimes hide a lack of ambition. But as I spent more time with the protocol, looking at how it is structured and what it prioritizes, that suspicion shifted. Walrus started to feel less like a pitch and more like an attempt to quietly solve problems many builders have learned to live with rather than fix. The design philosophy behind Walrus is refreshingly narrow. Instead of treating privacy, storage, and transactions as separate layers stitched together after the fact, the protocol treats them as interdependent pieces of the same system. WAL functions as more than a governance or staking token. It anchors participation in a network designed for secure and private interactions, while also supporting decentralized data storage that does not rely on centralized cloud providers. Built on Sui, Walrus uses erasure coding and blob storage to break large files into distributed pieces that can be recovered even when parts of the network go offline. The goal is not theoretical elegance, but resilience. Data should survive faults, censorship attempts, and uneven participation without demanding constant trust from users. What stands out is how little Walrus tries to impress. There is no obsession with chasing the highest throughput numbers or advertising abstract performance ceilings. The focus is on cost efficiency, predictable behavior, and simplicity at the application level. Storing large datasets in a decentralized environment has historically been expensive and operationally awkward. Walrus narrows that gap by distributing storage in a way that reduces redundancy costs while preserving recoverability. For developers building dApps that actually handle meaningful amounts of data, this matters far more than headline TPS figures. The protocol’s success is measured less by speculation and more by whether developers can deploy applications without constantly worrying about data availability or privacy leaks. Having watched several infrastructure waves come and go, this approach feels familiar in a good way. I have seen protocols chase maximal decentralization only to collapse under their own complexity. I have also seen systems prioritize speed and convenience, only to quietly reintroduce trusted intermediaries. Walrus seems shaped by those lessons. It does not claim to solve the blockchain trilemma outright, but it does make deliberate trade-offs. Privacy is handled carefully, storage is treated as a core primitive, and governance is designed to evolve rather than ossify. That restraint signals experience. It suggests a team that understands that long-term infrastructure is built through iteration, not declarations. Still, important questions remain. Can Walrus attract enough real users to keep the storage network healthy over time? Will enterprises and developers trust a decentralized alternative when centralized clouds are still cheaper at massive scale? How will governance respond when economic incentives and privacy guarantees inevitably come into tension? These are not theoretical concerns. They are the same challenges that have quietly undone other promising protocols over the years. Walrus feels aware of this history, but awareness alone does not guarantee durability. The broader context matters here. DeFi is no longer young, and many early assumptions about scalability and decentralization have been tested in production, often painfully. We have learned that infrastructure that looks good in isolation can fail under real workloads. Walrus enters this landscape without trying to rewrite its history.Instead, it works within those constraints, aiming to make decentralized storage and private transactions boringly reliable. That may not generate immediate excitement, but it is often how meaningful systems are built. Walrus does not feel finished or flawless, but it does feel grounded. And in a space that has burned through so many grand ideas, that grounding might be its most important feature. #walrus $WAL

Suggests DeFi’s Next Breakthrough Might Be Boring and That’s the Point

@Walrus 🦭/acc When I first read about Walrus, my reaction was muted curiosity rather than excitement. WAL did not arrive wrapped in bold claims or revolutionary slogans. It did not announce the end of existing systems or promise to fix every problem in DeFi. If anything, it felt restrained, almost cautious. That made me suspicious at first. In this industry, modesty can sometimes hide a lack of ambition. But as I spent more time with the protocol, looking at how it is structured and what it prioritizes, that suspicion shifted. Walrus started to feel less like a pitch and more like an attempt to quietly solve problems many builders have learned to live with rather than fix.
The design philosophy behind Walrus is refreshingly narrow. Instead of treating privacy, storage, and transactions as separate layers stitched together after the fact, the protocol treats them as interdependent pieces of the same system. WAL functions as more than a governance or staking token. It anchors participation in a network designed for secure and private interactions, while also supporting decentralized data storage that does not rely on centralized cloud providers. Built on Sui, Walrus uses erasure coding and blob storage to break large files into distributed pieces that can be recovered even when parts of the network go offline. The goal is not theoretical elegance, but resilience. Data should survive faults, censorship attempts, and uneven participation without demanding constant trust from users.
What stands out is how little Walrus tries to impress. There is no obsession with chasing the highest throughput numbers or advertising abstract performance ceilings. The focus is on cost efficiency, predictable behavior, and simplicity at the application level. Storing large datasets in a decentralized environment has historically been expensive and operationally awkward. Walrus narrows that gap by distributing storage in a way that reduces redundancy costs while preserving recoverability. For developers building dApps that actually handle meaningful amounts of data, this matters far more than headline TPS figures. The protocol’s success is measured less by speculation and more by whether developers can deploy applications without constantly worrying about data availability or privacy leaks.
Having watched several infrastructure waves come and go, this approach feels familiar in a good way. I have seen protocols chase maximal decentralization only to collapse under their own complexity. I have also seen systems prioritize speed and convenience, only to quietly reintroduce trusted intermediaries. Walrus seems shaped by those lessons. It does not claim to solve the blockchain trilemma outright, but it does make deliberate trade-offs. Privacy is handled carefully, storage is treated as a core primitive, and governance is designed to evolve rather than ossify. That restraint signals experience. It suggests a team that understands that long-term infrastructure is built through iteration, not declarations.
Still, important questions remain. Can Walrus attract enough real users to keep the storage network healthy over time? Will enterprises and developers trust a decentralized alternative when centralized clouds are still cheaper at massive scale? How will governance respond when economic incentives and privacy guarantees inevitably come into tension? These are not theoretical concerns. They are the same challenges that have quietly undone other promising protocols over the years. Walrus feels aware of this history, but awareness alone does not guarantee durability.
The broader context matters here. DeFi is no longer young, and many early assumptions about scalability and decentralization have been tested in production, often painfully. We have learned that infrastructure that looks good in isolation can fail under real workloads. Walrus enters this landscape without trying to rewrite its history.Instead, it works within those constraints, aiming to make decentralized storage and private transactions boringly reliable. That may not generate immediate excitement, but it is often how meaningful systems are built. Walrus does not feel finished or flawless, but it does feel grounded. And in a space that has burned through so many grand ideas, that grounding might be its most important feature.
#walrus $WAL
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@WalrusProtocol Another lens to understand Walrus is through the idea of data independence.Most modern applications are built on a dependency stack that looks stable until it isn’t.Storage providers change terms.Access models evolve.Jurisdictional pressure appears without warning.These risks rarely show up in product roadmaps,yet they shape outcomes more than most features.Walrus addresses this by removing quiet dependencies and replacing them with shared responsibility. WAL supports this shift by tying economic value to behavior rather than permission.The network rewards availability,durability,and long term participation.Governance exists to manage tradeoffs as reality unfolds,not to signal decentralization as a slogan.This is important because storage is not static.Demand grows unevenly.Costs fluctuate. Infrastructure that cannot adapt without breaking trust eventually collapses under its own weight. Privacy within Walrus is not positioned as secrecy for its own sake.It emerges naturally from distribution. When data is fragmented and spread across a decentralized network,control dissolves.There is no central switch to flip, no single operator to pressure. For builders working across borders,this neutrality reduces exposure.For users, it restores a sense of agency that has been steadily outsourced to platforms. What stands out is the absence of urgency theater. Walrus does not promise instant adoption or universal replacement of existing systems.It offers an alternative where persistence matters more than convenience.Over time, those cases multiply.Data that proves reliable in a decentralized environment tends to stay there,not because of ideology,but because of experience. The relevance of WAL may surface quietly.In systems that continue working during uncertainty.In applications that depend on it without advertising it. In data that remains accessible long after trends move on.Infrastructure earns trust by being present when it is tested.Walrus appears designed with that understanding at its core,and that may ultimately define its value. #Walrus $WAL
@Walrus 🦭/acc Another lens to understand Walrus is through the idea of data independence.Most modern applications are built on a dependency stack that looks stable until it isn’t.Storage providers change terms.Access models evolve.Jurisdictional pressure appears without warning.These risks rarely show up in product roadmaps,yet they shape outcomes more than most features.Walrus addresses this by removing quiet dependencies and replacing them with shared responsibility.

WAL supports this shift by tying economic value to behavior rather than permission.The network rewards availability,durability,and long term participation.Governance exists to manage tradeoffs as reality unfolds,not to signal decentralization as a slogan.This is important because storage is not static.Demand grows unevenly.Costs fluctuate. Infrastructure that cannot adapt without breaking trust eventually collapses under its own weight.

Privacy within Walrus is not positioned as secrecy for its own sake.It emerges naturally from distribution. When data is fragmented and spread across a decentralized network,control dissolves.There is no central switch to flip, no single operator to pressure. For builders working across borders,this neutrality reduces exposure.For users, it restores a sense of agency that has been steadily outsourced to platforms.

What stands out is the absence of urgency theater. Walrus does not promise instant adoption or universal replacement of existing systems.It offers an alternative where persistence matters more than convenience.Over time, those cases multiply.Data that proves reliable in a decentralized environment tends to stay there,not because of ideology,but because of experience.

The relevance of WAL may surface quietly.In systems that continue working during uncertainty.In applications that depend on it without advertising it. In data that remains accessible long after trends move on.Infrastructure earns trust by being present when it is tested.Walrus appears designed with that understanding at its core,and that may ultimately define its value.

#Walrus $WAL
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Feels Like a Turning Point for DeFi Infrastructure That Prefers Quiet Progress Over Loud Promises@WalrusProtocol I will admit my first reaction to Walrus was mild skepticism. Not the dramatic kind, but the familiar fatigue that comes from seeing yet another protocol claim it will fix privacy, storage, and decentralization all at once. What surprised me was not a sudden revelation or a flashy demo, but a slow accumulation of small signals that suggested Walrus was thinking differently. The more I read, the more that skepticism softened into something closer to cautious respect. Walrus did not seem obsessed with proving it was revolutionary. It seemed more concerned with working well under ordinary conditions, which in this industry already feels like a contrarian stance. At its foundation, Walrus is built around a design philosophy that values restraint. The protocol focuses on private transactions, decentralized applications, and data storage without trying to blur every boundary at once. Operating on the Sui network, Walrus leans into a performance oriented environment while keeping privacy and decentralization intact through careful architectural choices. The use of erasure coding and blob storage is not marketed as a breakthrough moment, but as a pragmatic answer to a boring and persistent problem: how to store large files across a distributed network without turning reliability into a gamble. Files are broken into fragments, redundancy is intentional, and recovery is expected, not exceptional. This is infrastructure thinking rather than product theater. What stands out most is how little energy Walrus spends on spectacle. The WAL token exists to support governance, staking, and participation, not to carry the emotional weight of the entire ecosystem. There is no attempt to suggest that WAL must be endlessly volatile or endlessly scarce to succeed. Instead, its role is grounded in coordination and incentives, aligning users with network health rather than short term extraction. Cost efficiency is achieved through simplicity. By narrowing its focus to storage, privacy, and usable DeFi tooling, Walrus avoids the hidden expenses that come with over engineered systems. This narrow focus may limit some edge cases, but it also reduces the risk of fragility, a trade off that feels deliberate rather than accidental. After spending years watching infrastructure projects promise resilience and deliver complexity, this approach feels refreshingly honest. I have seen protocols collapse under the weight of their own ambition, where every new feature introduced a new failure mode. Walrus appears to assume that things will go wrong eventually, and it designs accordingly. That assumption changes everything. It leads to clearer incentives, fewer dependencies, and systems that degrade gracefully instead of catastrophically. From an industry perspective, this is the difference between software designed for demos and software designed for use. The real questions sit in the future. Can Walrus maintain its balance as usage grows and storage demands increase. Will governance remain meaningful when more value flows through the system. How will privacy guarantees hold up as regulatory scrutiny intensifies and enterprise use cases emerge. None of these questions have final answers yet, and Walrus does not pretend otherwise. What it offers instead is a framework that feels capable of adapting without losing its core identity. That alone sets it apart from many of its predecessors. Zooming out, DeFi has struggled with infrastructure for years. Scalability challenges, security trade offs, and past failures in decentralized storage have left users cautious and builders more pragmatic. Walrus enters this landscape without claiming to solve the blockchain trilemma outright. It chooses its compromises carefully and makes them visible. That transparency may not win every narrative cycle, but it builds trust slowly, which is often the only kind that lasts. If Walrus succeeds, it will not be because it promised the future.It will be because it respected the present. Infrastructure that works quietly, respects limits, and improves incrementally rarely feels exciting at first. It tends to become valuable only after time has passed and expectations have settled. In a market that has learned the cost of overpromising, that might be exactly what progress looks like now. #walrus $WAL

Feels Like a Turning Point for DeFi Infrastructure That Prefers Quiet Progress Over Loud Promises

@Walrus 🦭/acc I will admit my first reaction to Walrus was mild skepticism. Not the dramatic kind, but the familiar fatigue that comes from seeing yet another protocol claim it will fix privacy, storage, and decentralization all at once. What surprised me was not a sudden revelation or a flashy demo, but a slow accumulation of small signals that suggested Walrus was thinking differently. The more I read, the more that skepticism softened into something closer to cautious respect. Walrus did not seem obsessed with proving it was revolutionary. It seemed more concerned with working well under ordinary conditions, which in this industry already feels like a contrarian stance.
At its foundation, Walrus is built around a design philosophy that values restraint. The protocol focuses on private transactions, decentralized applications, and data storage without trying to blur every boundary at once. Operating on the Sui network, Walrus leans into a performance oriented environment while keeping privacy and decentralization intact through careful architectural choices. The use of erasure coding and blob storage is not marketed as a breakthrough moment, but as a pragmatic answer to a boring and persistent problem: how to store large files across a distributed network without turning reliability into a gamble. Files are broken into fragments, redundancy is intentional, and recovery is expected, not exceptional. This is infrastructure thinking rather than product theater.
What stands out most is how little energy Walrus spends on spectacle. The WAL token exists to support governance, staking, and participation, not to carry the emotional weight of the entire ecosystem. There is no attempt to suggest that WAL must be endlessly volatile or endlessly scarce to succeed. Instead, its role is grounded in coordination and incentives, aligning users with network health rather than short term extraction. Cost efficiency is achieved through simplicity. By narrowing its focus to storage, privacy, and usable DeFi tooling, Walrus avoids the hidden expenses that come with over engineered systems. This narrow focus may limit some edge cases, but it also reduces the risk of fragility, a trade off that feels deliberate rather than accidental.
After spending years watching infrastructure projects promise resilience and deliver complexity, this approach feels refreshingly honest. I have seen protocols collapse under the weight of their own ambition, where every new feature introduced a new failure mode. Walrus appears to assume that things will go wrong eventually, and it designs accordingly. That assumption changes everything. It leads to clearer incentives, fewer dependencies, and systems that degrade gracefully instead of catastrophically. From an industry perspective, this is the difference between software designed for demos and software designed for use.
The real questions sit in the future. Can Walrus maintain its balance as usage grows and storage demands increase. Will governance remain meaningful when more value flows through the system. How will privacy guarantees hold up as regulatory scrutiny intensifies and enterprise use cases emerge. None of these questions have final answers yet, and Walrus does not pretend otherwise. What it offers instead is a framework that feels capable of adapting without losing its core identity. That alone sets it apart from many of its predecessors.
Zooming out, DeFi has struggled with infrastructure for years. Scalability challenges, security trade offs, and past failures in decentralized storage have left users cautious and builders more pragmatic. Walrus enters this landscape without claiming to solve the blockchain trilemma outright. It chooses its compromises carefully and makes them visible. That transparency may not win every narrative cycle, but it builds trust slowly, which is often the only kind that lasts.
If Walrus succeeds, it will not be because it promised the future.It will be because it respected the present. Infrastructure that works quietly, respects limits, and improves incrementally rarely feels exciting at first. It tends to become valuable only after time has passed and expectations have settled. In a market that has learned the cost of overpromising, that might be exactly what progress looks like now.
#walrus $WAL
Feels Like a Quiet Correction to How We Think About DeFi Infrastructure@WalrusProtocol When I first came across Walrus, my reaction was not excitement. It was closer to cautious curiosity. DeFi has trained many of us to be skeptical by default, especially when a project claims to touch privacy, storage, and financial primitives at the same time. Those are heavy words, and history is full of protocols that carried them lightly. What changed my view was not a sudden breakthrough announcement, but a pattern. Walrus kept showing up in contexts where people were actually building, not pitching. Over time, that consistency began to matter more than any promise, and skepticism slowly gave way to something more practical: attention. The design philosophy behind Walrus Protocol.is surprisingly restrained. It does not try to reinvent every layer of Web3 or compete directly with hyperscale cloud providers on branding. Instead, it treats decentralized storage as a missing but necessary utility. Files are split into blobs, protected through erasure coding, and distributed across independent nodes so availability does not hinge on trust in a single operator. Privacy is embedded into how data is stored and accessed, not framed as an optional feature for advanced users. The WAL token exists to coordinate behavior through staking, governance, and usage incentives, but the system does not depend on token appreciation to justify its relevance. That alone sets it apart from many projects that confuse financial activity with product value. What stands out most is how deliberately Walrus narrows its scope. By building on Sui, the protocol leverages a base layer optimized for parallel execution and object based data handling. That choice is not flashy, but it is practical. It allows Walrus to focus on predictable performance and transparent costs rather than theoretical maximum throughput. Storage pricing is easier to reason about. Retrieval times are consistent. The architecture feels designed for developers who want fewer surprises, not more options. In an ecosystem obsessed with optionality, that kind of constraint reads almost contrarian, and that is precisely why it works. Having watched infrastructure cycles rise and fall, this approach feels familiar in a good way. Many early Web3 projects collapsed under the weight of their own ambition. They tried to solve decentralization, scalability, governance, and user experience all at once, often before any of those pieces were stable. Walrus feels informed by that history. It accepts that decentralization comes with trade-offs, that privacy adds complexity, and that storage is only valuable if it is boringly reliable. There is no pretense that this solves the blockchain trilemma or replaces existing systems overnight. Instead, it aims to coexist, gradually earning trust through usage rather than narrative dominance. The real questions now sit at the edges. Can Walrus maintain censorship resistance as demand grows and enterprise users bring stricter compliance expectations? Will its incentive model hold up when speculative interest fades and storage demand becomes steady rather than cyclical? How does governance evolve when the network begins to matter to people who are not crypto native at all? These are not unique to Walrus, but they are unavoidable. What makes Walrus interesting is that it seems built with those tensions in mind, rather than hoping they never arrive. If decentralized storage is going to become part of everyday infrastructure, it will likely look less like a revolution and more like Walrus: quiet, opinionated, and focused on doing one hard thing well. #walrus $WAL

Feels Like a Quiet Correction to How We Think About DeFi Infrastructure

@Walrus 🦭/acc When I first came across Walrus, my reaction was not excitement. It was closer to cautious curiosity. DeFi has trained many of us to be skeptical by default, especially when a project claims to touch privacy, storage, and financial primitives at the same time. Those are heavy words, and history is full of protocols that carried them lightly. What changed my view was not a sudden breakthrough announcement, but a pattern. Walrus kept showing up in contexts where people were actually building, not pitching. Over time, that consistency began to matter more than any promise, and skepticism slowly gave way to something more practical: attention.
The design philosophy behind Walrus Protocol.is surprisingly restrained. It does not try to reinvent every layer of Web3 or compete directly with hyperscale cloud providers on branding. Instead, it treats decentralized storage as a missing but necessary utility. Files are split into blobs, protected through erasure coding, and distributed across independent nodes so availability does not hinge on trust in a single operator. Privacy is embedded into how data is stored and accessed, not framed as an optional feature for advanced users. The WAL token exists to coordinate behavior through staking, governance, and usage incentives, but the system does not depend on token appreciation to justify its relevance. That alone sets it apart from many projects that confuse financial activity with product value.
What stands out most is how deliberately Walrus narrows its scope. By building on Sui, the protocol leverages a base layer optimized for parallel execution and object based data handling. That choice is not flashy, but it is practical. It allows Walrus to focus on predictable performance and transparent costs rather than theoretical maximum throughput. Storage pricing is easier to reason about. Retrieval times are consistent. The architecture feels designed for developers who want fewer surprises, not more options. In an ecosystem obsessed with optionality, that kind of constraint reads almost contrarian, and that is precisely why it works.
Having watched infrastructure cycles rise and fall, this approach feels familiar in a good way. Many early Web3 projects collapsed under the weight of their own ambition. They tried to solve decentralization, scalability, governance, and user experience all at once, often before any of those pieces were stable. Walrus feels informed by that history. It accepts that decentralization comes with trade-offs, that privacy adds complexity, and that storage is only valuable if it is boringly reliable. There is no pretense that this solves the blockchain trilemma or replaces existing systems overnight. Instead, it aims to coexist, gradually earning trust through usage rather than narrative dominance.
The real questions now sit at the edges. Can Walrus maintain censorship resistance as demand grows and enterprise users bring stricter compliance expectations? Will its incentive model hold up when speculative interest fades and storage demand becomes steady rather than cyclical? How does governance evolve when the network begins to matter to people who are not crypto native at all? These are not unique to Walrus, but they are unavoidable. What makes Walrus interesting is that it seems built with those tensions in mind, rather than hoping they never arrive. If decentralized storage is going to become part of everyday infrastructure, it will likely look less like a revolution and more like Walrus: quiet, opinionated, and focused on doing one hard thing well.
#walrus $WAL
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@WalrusProtocol Another way to understand Walrus is to see it as an answer to hidden dependence. Most applications today rely on infrastructure they cannot fully audit or control. That dependence remains invisible until something changes. A policy update. A service interruption. A pricing model rewritten overnight. Walrus addresses this risk not with promises, but with structure. Data is distributed, verifiable, and maintained by a network rather than an authority. WAL supports this structure by aligning incentives with behavior instead of branding. The network rewards availability and long term commitment, not volume or noise. Governance exists to manage tradeoffs as real usage emerges, not to signal decentralization as a slogan. Storage is a living system. Demand shifts. Costs evolve. A protocol that cannot adapt without breaking trust eventually fails. Walrus is built to adjust without resetting expectations. Privacy here feels like an outcome rather than a feature. Fragmentation and distribution remove obvious points of control. There is no single server to pressure and no administrator to override access. For builders operating across borders, this neutrality reduces exposure. For users, it restores a degree of agency that has been slowly traded away for convenience. What stands out most is restraint. Walrus does not promise instant transformation or universal adoption. It positions itself as infrastructure for moments where persistence matters more than speed. Over time, those moments tend to multiply. Once data proves reliable in a decentralized environment, moving back to centralized systems feels less like progress and more like compromise. The relevance of WAL may surface quietly. In applications that keep working without explanation. In systems that do not make headlines because nothing went wrong. In data that remains accessible long after trends fade. Infrastructure earns trust by being there when it is needed. Walrus appears built with that understanding, and that may be its strongest signal yet. #Walrus $WAL
@Walrus 🦭/acc Another way to understand Walrus is to see it as an answer to hidden dependence. Most applications today rely on infrastructure they cannot fully audit or control. That dependence remains invisible until something changes. A policy update. A service interruption. A pricing model rewritten overnight. Walrus addresses this risk not with promises, but with structure. Data is distributed, verifiable, and maintained by a network rather than an authority.

WAL supports this structure by aligning incentives with behavior instead of branding. The network rewards availability and long term commitment, not volume or noise. Governance exists to manage tradeoffs as real usage emerges, not to signal decentralization as a slogan. Storage is a living system. Demand shifts. Costs evolve. A protocol that cannot adapt without breaking trust eventually fails. Walrus is built to adjust without resetting expectations.

Privacy here feels like an outcome rather than a feature. Fragmentation and distribution remove obvious points of control. There is no single server to pressure and no administrator to override access. For builders operating across borders, this neutrality reduces exposure. For users, it restores a degree of agency that has been slowly traded away for convenience.

What stands out most is restraint. Walrus does not promise instant transformation or universal adoption. It positions itself as infrastructure for moments where persistence matters more than speed. Over time, those moments tend to multiply. Once data proves reliable in a decentralized environment, moving back to centralized systems feels less like progress and more like compromise.

The relevance of WAL may surface quietly. In applications that keep working without explanation. In systems that do not make headlines because nothing went wrong. In data that remains accessible long after trends fade. Infrastructure earns trust by being there when it is needed. Walrus appears built with that understanding, and that may be its strongest signal yet.

#Walrus $WAL
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@WalrusProtocol Another angle to understand Walrus is to view it as a response to dependency risk. Modern applications depend on storage layers they do not control and cannot easily audit. That dependency is invisible until something changes. Pricing shifts, access is restricted, or policy updates quietly rewrite what is allowed. Walrus challenges this pattern by making storage verifiable and participatory. Data is not entrusted. It is distributed. WAL supports this philosophy by anchoring incentives to behavior rather than branding. The network rewards uptime, availability, and long term commitment. Governance exists not to signal decentralization, but to manage tradeoffs as real usage emerges. Storage is not static. Demand fluctuates, costs evolve, and infrastructure must adapt without breaking trust. Walrus is built with that adaptability in mind. Privacy within this system feels practical rather than abstract. Data fragments are spread across a decentralized network, reducing exposure and eliminating obvious control points. For builders operating across regions, this neutrality is becoming a necessity. For users, it restores a degree of agency that has been slowly eroded by platform dominated models. What stands out most is the absence of exaggerated promises. Walrus does not frame itself as a universal solution. It presents itself as infrastructure for cases where persistence matters more than convenience. Over time, those cases tend to multiply. Once data proves reliable in a decentralized environment, it rarely moves back. WAL’s relevance may not show up in daily conversations. It may show up in systems that quietly keep running. In applications that depend on it without advertising it. In data that remains accessible when conditions change. Infrastructure earns trust through consistency, not visibility. Walrus appears designed with that understanding, and that may be its most deliberate strength. #Walrus $WAL
@Walrus 🦭/acc Another angle to understand Walrus is to view it as a response to dependency risk. Modern applications depend on storage layers they do not control and cannot easily audit. That dependency is invisible until something changes. Pricing shifts, access is restricted, or policy updates quietly rewrite what is allowed. Walrus challenges this pattern by making storage verifiable and participatory. Data is not entrusted. It is distributed.

WAL supports this philosophy by anchoring incentives to behavior rather than branding. The network rewards uptime, availability, and long term commitment. Governance exists not to signal decentralization, but to manage tradeoffs as real usage emerges. Storage is not static. Demand fluctuates, costs evolve, and infrastructure must adapt without breaking trust. Walrus is built with that adaptability in mind.

Privacy within this system feels practical rather than abstract. Data fragments are spread across a decentralized network, reducing exposure and eliminating obvious control points. For builders operating across regions, this neutrality is becoming a necessity. For users, it restores a degree of agency that has been slowly eroded by platform dominated models.

What stands out most is the absence of exaggerated promises. Walrus does not frame itself as a universal solution. It presents itself as infrastructure for cases where persistence matters more than convenience. Over time, those cases tend to multiply. Once data proves reliable in a decentralized environment, it rarely moves back.

WAL’s relevance may not show up in daily conversations. It may show up in systems that quietly keep running. In applications that depend on it without advertising it. In data that remains accessible when conditions change. Infrastructure earns trust through consistency, not visibility. Walrus appears designed with that understanding, and that may be its most deliberate strength.

#Walrus $WAL
Feels Like the Moment Decentralized Storage Stops Chasing Attention and Starts Earning It@WalrusProtocol I did not go looking for reasons to believe in Walrus. Decentralized storage has trained many of us to be skeptical by default. The ideas are sound, the promises are large, and the execution usually stumbles once real users arrive. What caught me off guard was how little Walrus tried to convince me of anything. There was no urgency in the messaging, no pressure to buy into a grand future narrative. Instead, there was evidence of something quieter. A system already functioning, already constrained by reality, and seemingly comfortable with that. Over time, that restraint reduced my skepticism more effectively than any bold claim ever could. The design philosophy behind Walrus Protocol is refreshingly narrow. Walrus is not trying to redefine finance or abstract privacy into theory. It treats data storage as infrastructure, something that should fade into the background once it works. WAL, the native token, supports governance, staking, and private transactions, but it never feels like the centerpiece. The real focus is how data lives on the network. Large files are split through erasure coding, stored as blobs, and distributed across multiple nodes. No single node holds everything. No single failure takes the system down. This is not new science, but it is careful engineering, applied without unnecessary ornamentation. Building on Sui reinforces that pragmatic approach. Sui allows Walrus to prioritize predictable performance and cost efficiency instead of constantly compensating for network constraints. That decision shows up where it matters most. Storage pricing is understandable rather than symbolic. Retrieval times are stable enough for real applications, not just tests. The protocol does not chase maximum configurability or theoretical flexibility. It stays focused on being reliable. In a Web3 landscape obsessed with being everything at once, this kind of restraint feels almost contrarian, and increasingly, it feels necessary. That restraint also hints at experience. Anyone who has watched infrastructure projects rise and fall knows the familiar pattern. Incentives drift from users to speculation. Governance accelerates under pressure. Complexity grows until reliability collapses. Walrus appears shaped by those lessons. Its governance moves deliberately. Its incentives reward contribution rather than noise. WAL has purpose without becoming distraction. None of this guarantees long term success, but it lowers the risk of the most common failures. The system already works today, quietly, without demanding belief in a distant future, and that is a rare quality in this space. The questions that remain are the ones worth asking. Can Walrus maintain decentralization as enterprise usage grows? How will privacy guarantees hold up as regulatory expectations evolve? Will storage costs remain competitive as volumes increase? These challenges are not unique to Walrus, but they have ended many projects before it. What feels different here is the posture. Walrus does not seem built to outrun these questions with hype. It seems built to answer them slowly, through use rather than theory. In an industry shaped by scalability trade offs and a long history of abandoned infrastructure, Walrus feels like a system designed to age, not explode. If decentralized storage is ever going to become normal rather than experimental, it will probably arrive quietly, looking very much like this. #walrus $WAL

Feels Like the Moment Decentralized Storage Stops Chasing Attention and Starts Earning It

@Walrus 🦭/acc I did not go looking for reasons to believe in Walrus. Decentralized storage has trained many of us to be skeptical by default. The ideas are sound, the promises are large, and the execution usually stumbles once real users arrive. What caught me off guard was how little Walrus tried to convince me of anything. There was no urgency in the messaging, no pressure to buy into a grand future narrative. Instead, there was evidence of something quieter. A system already functioning, already constrained by reality, and seemingly comfortable with that. Over time, that restraint reduced my skepticism more effectively than any bold claim ever could.
The design philosophy behind Walrus Protocol is refreshingly narrow. Walrus is not trying to redefine finance or abstract privacy into theory. It treats data storage as infrastructure, something that should fade into the background once it works. WAL, the native token, supports governance, staking, and private transactions, but it never feels like the centerpiece. The real focus is how data lives on the network. Large files are split through erasure coding, stored as blobs, and distributed across multiple nodes. No single node holds everything. No single failure takes the system down. This is not new science, but it is careful engineering, applied without unnecessary ornamentation.
Building on Sui reinforces that pragmatic approach. Sui allows Walrus to prioritize predictable performance and cost efficiency instead of constantly compensating for network constraints. That decision shows up where it matters most. Storage pricing is understandable rather than symbolic. Retrieval times are stable enough for real applications, not just tests. The protocol does not chase maximum configurability or theoretical flexibility. It stays focused on being reliable. In a Web3 landscape obsessed with being everything at once, this kind of restraint feels almost contrarian, and increasingly, it feels necessary.
That restraint also hints at experience. Anyone who has watched infrastructure projects rise and fall knows the familiar pattern. Incentives drift from users to speculation. Governance accelerates under pressure. Complexity grows until reliability collapses. Walrus appears shaped by those lessons. Its governance moves deliberately. Its incentives reward contribution rather than noise. WAL has purpose without becoming distraction. None of this guarantees long term success, but it lowers the risk of the most common failures. The system already works today, quietly, without demanding belief in a distant future, and that is a rare quality in this space.
The questions that remain are the ones worth asking. Can Walrus maintain decentralization as enterprise usage grows? How will privacy guarantees hold up as regulatory expectations evolve? Will storage costs remain competitive as volumes increase? These challenges are not unique to Walrus, but they have ended many projects before it. What feels different here is the posture. Walrus does not seem built to outrun these questions with hype. It seems built to answer them slowly, through use rather than theory. In an industry shaped by scalability trade offs and a long history of abandoned infrastructure, Walrus feels like a system designed to age, not explode. If decentralized storage is ever going to become normal rather than experimental, it will probably arrive quietly, looking very much like this.
#walrus $WAL
@WalrusProtocol Another way to understand Walrus is to look at how it treats ownership. In most digital systems, ownership ends the moment data is uploaded.Control shifts quietly,governed by terms that users rarely negotiate.Walrus challenges this pattern by keeping ownership and responsibility closer together.Data is stored across a decentralized network where no single actor can unilaterally rewrite rules or revoke access.Privacy becomes a property of the system rather than a promise layered on top. WAL supports this design by anchoring participation in governance and staking.Decisions around storage economics,network parameters, and long term sustainability are not hidden behind corporate policy. They are shaped by those who rely on the system. This shared accountability is what separates infrastructure from services.Services optimize for growth. Infrastructure optimizes for persistence. What feels particularly relevant now is how Walrus approaches scale.Instead of chasing short term adoption metrics,it builds for data gravity.Once data enters a decentralized storage network and proves reliable,it tends to stay.That creates a quiet compounding effect.Applications begin to depend on it.Users begin to trust it.Switching back to centralized alternatives becomes less attractive,not because of ideology, but because of experience. Privacy within Walrus is structural.Fragmentation, distribution, and redundancy remove obvious points of control.There is no single server to pressure,no central administrator to override outcomes.For builders operating across jurisdictions, this neutrality reduces risk.For users,it restores a sense of agency that has slowly eroded in the age of platform dominance. Over time,the relevance of WAL may not show up in headlines.It may show up in reliability.In applications that simply work.In data that remains accessible when conditions change.Infrastructure succeeds when it fades into the background,quietly doing its job.Walrus appears designed with that outcome in mind,and that may be its most deliberate choice of all. #Walrus $WAL
@Walrus 🦭/acc Another way to understand Walrus is to look at how it treats ownership. In most digital systems, ownership ends the moment data is uploaded.Control shifts quietly,governed by terms that users rarely negotiate.Walrus challenges this pattern by keeping ownership and responsibility closer together.Data is stored across a decentralized network where no single actor can unilaterally rewrite rules or revoke access.Privacy becomes a property of the system rather than a promise layered on top.

WAL supports this design by anchoring participation in governance and staking.Decisions around storage economics,network parameters, and long term sustainability are not hidden behind corporate policy. They are shaped by those who rely on the system. This shared accountability is what separates infrastructure from services.Services optimize for growth. Infrastructure optimizes for persistence.

What feels particularly relevant now is how Walrus approaches scale.Instead of chasing short term adoption metrics,it builds for data gravity.Once data enters a decentralized storage network and proves reliable,it tends to stay.That creates a quiet compounding effect.Applications begin to depend on it.Users begin to trust it.Switching back to centralized alternatives becomes less attractive,not because of ideology, but because of experience.

Privacy within Walrus is structural.Fragmentation, distribution, and redundancy remove obvious points of control.There is no single server to pressure,no central administrator to override outcomes.For builders operating across jurisdictions, this neutrality reduces risk.For users,it restores a sense of agency that has slowly eroded in the age of platform dominance.

Over time,the relevance of WAL may not show up in headlines.It may show up in reliability.In applications that simply work.In data that remains accessible when conditions change.Infrastructure succeeds when it fades into the background,quietly doing its job.Walrus appears designed with that outcome in mind,and that may be its most deliberate choice of all.

#Walrus $WAL
🎙️ Global Crypto Snapshot Trend, Volatility Claim $BTC - BPK47X1QGS 🧧
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@WalrusProtocol Another way to understand Walrus is to look at it through the lens of data responsibility. As decentralized applications mature, the question is no longer whether data can be stored onchain, but whether it can be stored in a way that remains accessible, neutral, and economically rational over time. Walrus approaches this challenge without dramatics. It assumes data will grow larger, usage will become less predictable, and systems must be designed to absorb that reality. WAL plays a quiet role in making this possible. Governance and staking are not added for decoration. They create a feedback loop where decisions around storage economics, network parameters, and long term sustainability are shared rather than imposed. This matters because storage is not static. Costs shift, demand fluctuates, and incentives must adapt. A protocol that cannot evolve with its users eventually breaks down. Privacy within Walrus feels structural rather than cosmetic. By distributing fragments of data across a decentralized network, the protocol removes obvious points of control. There is no single server to pressure, no central administrator to override access. For users and builders, this changes the relationship with their data. It becomes something they participate in maintaining rather than something they outsource and forget. What stands out is the absence of exaggerated claims. Walrus does not promise instant mass adoption or perfect decentralization. It acknowledges tradeoffs and focuses on making decentralized storage usable first, ideological second. That realism is refreshing in a space often driven by narratives rather than infrastructure. Over time, the relevance of WAL may show up in unexpected places. In applications that quietly rely on it. In enterprises that use it as a hedge rather than a headline. In communities that value persistence over visibility. When infrastructure works well, it fades into the background. Walrus seems built with that outcome in mind, and that may be its strongest signal yet. #Walrus $WAL
@Walrus 🦭/acc Another way to understand Walrus is to look at it through the lens of data responsibility. As decentralized applications mature, the question is no longer whether data can be stored onchain, but whether it can be stored in a way that remains accessible, neutral, and economically rational over time. Walrus approaches this challenge without dramatics. It assumes data will grow larger, usage will become less predictable, and systems must be designed to absorb that reality.

WAL plays a quiet role in making this possible. Governance and staking are not added for decoration. They create a feedback loop where decisions around storage economics, network parameters, and long term sustainability are shared rather than imposed. This matters because storage is not static. Costs shift, demand fluctuates, and incentives must adapt. A protocol that cannot evolve with its users eventually breaks down.

Privacy within Walrus feels structural rather than cosmetic. By distributing fragments of data across a decentralized network, the protocol removes obvious points of control. There is no single server to pressure, no central administrator to override access. For users and builders, this changes the relationship with their data. It becomes something they participate in maintaining rather than something they outsource and forget.

What stands out is the absence of exaggerated claims. Walrus does not promise instant mass adoption or perfect decentralization. It acknowledges tradeoffs and focuses on making decentralized storage usable first, ideological second. That realism is refreshing in a space often driven by narratives rather than infrastructure.

Over time, the relevance of WAL may show up in unexpected places. In applications that quietly rely on it. In enterprises that use it as a hedge rather than a headline. In communities that value persistence over visibility. When infrastructure works well, it fades into the background. Walrus seems built with that outcome in mind, and that may be its strongest signal yet.

#Walrus $WAL
@WalrusProtocol Another way to look at Walrus is through the lens of data gravity. As applications evolve, data becomes heavier, harder to move, and more expensive to secure. Traditional cloud systems solve this by locking users deeper into their ecosystems. Walrus challenges that pattern by making data portable, verifiable, and resistant to external control. This is not a dramatic revolution. It is a structural correction. WAL plays a subtle but critical role here. Instead of being designed around short term incentives, it supports long term participation. Governance and staking are not decorative features. They are mechanisms that allow the community to collectively decide how storage economics adapt as usage grows. This shared responsibility is what gives the protocol its staying power. When incentives are aligned, infrastructure tends to last. Privacy within Walrus is less about hiding and more about design. Data is fragmented, distributed, and stored in a way that removes centralized chokepoints. No single party has a complete picture or unilateral authority. For builders, this creates an environment where applications can scale without inheriting the vulnerabilities of centralized storage. For users, it restores a sense of control that has been gradually eroded over the past decade. There is also a growing realism in how Walrus positions itself. It does not promise instant mass adoption. It acknowledges that decentralized storage requires education, tooling, and patience. But it also recognizes that once data is anchored in a decentralized system, it tends to stay there. Switching costs begin to favor openness rather than lock in. Over time, the value of WAL may be less about visibility and more about persistence. Protocols that quietly hold data tend to outlive cycles of hype. If Walrus continues to focus on resilience, clarity, and real world usability, it may become one of those foundational layers people rely on without thinking about it. And in infrastructure, that kind of invisibility is often the strongest signal of success. #Walrus $WAL
@Walrus 🦭/acc Another way to look at Walrus is through the lens of data gravity. As applications evolve, data becomes heavier, harder to move, and more expensive to secure. Traditional cloud systems solve this by locking users deeper into their ecosystems. Walrus challenges that pattern by making data portable, verifiable, and resistant to external control. This is not a dramatic revolution. It is a structural correction.

WAL plays a subtle but critical role here. Instead of being designed around short term incentives, it supports long term participation. Governance and staking are not decorative features. They are mechanisms that allow the community to collectively decide how storage economics adapt as usage grows. This shared responsibility is what gives the protocol its staying power. When incentives are aligned, infrastructure tends to last.

Privacy within Walrus is less about hiding and more about design. Data is fragmented, distributed, and stored in a way that removes centralized chokepoints. No single party has a complete picture or unilateral authority. For builders, this creates an environment where applications can scale without inheriting the vulnerabilities of centralized storage. For users, it restores a sense of control that has been gradually eroded over the past decade.

There is also a growing realism in how Walrus positions itself. It does not promise instant mass adoption. It acknowledges that decentralized storage requires education, tooling, and patience. But it also recognizes that once data is anchored in a decentralized system, it tends to stay there. Switching costs begin to favor openness rather than lock in.

Over time, the value of WAL may be less about visibility and more about persistence. Protocols that quietly hold data tend to outlive cycles of hype. If Walrus continues to focus on resilience, clarity, and real world usability, it may become one of those foundational layers people rely on without thinking about it. And in infrastructure, that kind of invisibility is often the strongest signal of success.

#Walrus $WAL
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